Dataset statistics
| Number of variables | 37 |
|---|---|
| Number of observations | 923 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 1 |
| Duplicate rows (%) | 0.1% |
| Total size in memory | 266.9 KiB |
| Average record size in memory | 296.1 B |
Variable types
| Numeric | 9 |
|---|---|
| Categorical | 28 |
| Dataset has 1 (0.1%) duplicate rows | Duplicates |
age_first_funding_year is highly overall correlated with age_last_funding_year | High correlation |
age_first_milestone_year is highly overall correlated with age_last_milestone_year | High correlation |
age_last_funding_year is highly overall correlated with age_first_funding_year and 2 other fields | High correlation |
age_last_milestone_year is highly overall correlated with age_first_milestone_year and 1 other fields | High correlation |
age_startup_year is highly overall correlated with age_last_funding_year and 1 other fields | High correlation |
funding_rounds is highly overall correlated with funding_total_usd | High correlation |
funding_total_usd is highly overall correlated with age_last_funding_year and 6 other fields | High correlation |
has_Investor is highly overall correlated with has_Seed and 2 other fields | High correlation |
has_RoundABCD is highly overall correlated with funding_total_usd and 2 other fields | High correlation |
has_Seed is highly overall correlated with funding_total_usd and 3 other fields | High correlation |
has_VC is highly overall correlated with has_Investor | High correlation |
has_angel is highly overall correlated with funding_total_usd and 1 other fields | High correlation |
has_roundA is highly overall correlated with has_RoundABCD and 1 other fields | High correlation |
has_roundB is highly overall correlated with funding_total_usd | High correlation |
has_roundC is highly overall correlated with funding_total_usd | High correlation |
is_CA is highly overall correlated with is_otherstate | High correlation |
is_otherstate is highly overall correlated with is_CA | High correlation |
milestones is highly overall correlated with age_last_milestone_year | High correlation |
status is highly overall correlated with age_startup_year | High correlation |
is_MA is highly imbalanced (56.4%) | Imbalance |
is_TX is highly imbalanced (73.3%) | Imbalance |
is_mobile is highly imbalanced (57.8%) | Imbalance |
is_enterprise is highly imbalanced (60.1%) | Imbalance |
is_advertising is highly imbalanced (64.5%) | Imbalance |
is_gamesvideo is highly imbalanced (68.7%) | Imbalance |
is_ecommerce is highly imbalanced (82.0%) | Imbalance |
is_biotech is highly imbalanced (77.2%) | Imbalance |
is_consulting is highly imbalanced (96.8%) | Imbalance |
has_roundD is highly imbalanced (53.2%) | Imbalance |
invalid_startup is highly imbalanced (80.9%) | Imbalance |
age_first_funding_year has 56 (6.1%) zeros | Zeros |
age_last_funding_year has 17 (1.8%) zeros | Zeros |
age_first_milestone_year has 197 (21.3%) zeros | Zeros |
age_last_milestone_year has 171 (18.5%) zeros | Zeros |
milestones has 152 (16.5%) zeros | Zeros |
Reproduction
| Analysis started | 2024-06-04 20:49:49.900795 |
|---|---|
| Analysis finished | 2024-06-04 20:51:11.494260 |
| Duration | 1 minute and 21.59 seconds |
| Software version | ydata-profiling v4.8.3 |
| Download configuration | config.json |
age_first_funding_year
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 607 |
|---|---|
| Distinct (%) | 65.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.97673273 |
| Minimum | 0 |
|---|---|
| Maximum | 3.1309579 |
| Zeros | 56 |
| Zeros (%) | 6.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0.46570394 |
| median | 0.90470386 |
| Q3 | 1.5224736 |
| 95-th percentile | 2.0281067 |
| Maximum | 3.1309579 |
| Range | 3.1309579 |
| Interquartile range (IQR) | 1.0567697 |
Descriptive statistics
| Standard deviation | 0.64830481 |
|---|---|
| Coefficient of variation (CV) | 0.66374842 |
| Kurtosis | -0.68433279 |
| Mean | 0.97673273 |
| Median Absolute Deviation (MAD) | 0.5032786 |
| Skewness | 0.30607379 |
| Sum | 901.52431 |
| Variance | 0.42029913 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 56 | 6.1% |
| 0.6931471806 | 13 | 1.4% |
| 0.5584150674 | 11 | 1.2% |
| 0.1545220394 | 9 | 1.0% |
| 0.457931048 | 9 | 1.0% |
| 0.3500933326 | 8 | 0.9% |
| 0.08148781685 | 8 | 0.9% |
| 1.099511884 | 7 | 0.8% |
| 0.5103054885 | 6 | 0.7% |
| 0.605899412 | 6 | 0.7% |
| Other values (597) | 790 |
| Value | Count | Frequency (%) |
| 0 | 56 | |
| 0.002696361548 | 3 | 0.3% |
| 0.008166562666 | 2 | 0.2% |
| 0.01093994004 | 1 | 0.1% |
| 0.01626697246 | 2 | 0.2% |
| 0.01901800584 | 3 | 0.3% |
| 0.02166363964 | 2 | 0.2% |
| 0.02965588491 | 1 | 0.1% |
| 0.03237038003 | 1 | 0.1% |
| 0.0349809689 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 3.130957855 | 1 | |
| 3.082162232 | 1 | |
| 2.889610357 | 1 | |
| 2.857573046 | 1 | |
| 2.520346185 | 1 | |
| 2.512375892 | 1 | |
| 2.49693403 | 1 | |
| 2.477109665 | 1 | |
| 2.474814226 | 1 | |
| 2.464610401 | 1 |
age_last_funding_year
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 750 |
|---|---|
| Distinct (%) | 81.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.4224289 |
| Minimum | 0 |
|---|---|
| Maximum | 3.1309579 |
| Zeros | 17 |
| Zeros (%) | 1.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.28489148 |
| Q1 | 1.0068362 |
| median | 1.5140717 |
| Q3 | 1.8812345 |
| 95-th percentile | 2.3381067 |
| Maximum | 3.1309579 |
| Range | 3.1309579 |
| Interquartile range (IQR) | 0.87439832 |
Descriptive statistics
| Standard deviation | 0.62541461 |
|---|---|
| Coefficient of variation (CV) | 0.43968076 |
| Kurtosis | -0.4667102 |
| Mean | 1.4224289 |
| Median Absolute Deviation (MAD) | 0.42477064 |
| Skewness | -0.34458229 |
| Sum | 1312.9019 |
| Variance | 0.39114344 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 17 | 1.8% |
| 0.457931048 | 4 | 0.4% |
| 1.151963464 | 3 | 0.3% |
| 1.21973788 | 3 | 0.3% |
| 0.9502282829 | 3 | 0.3% |
| 0.7834448185 | 3 | 0.3% |
| 1.65286132 | 3 | 0.3% |
| 1.792209368 | 3 | 0.3% |
| 1.294535368 | 3 | 0.3% |
| 0.915730575 | 3 | 0.3% |
| Other values (740) | 878 |
| Value | Count | Frequency (%) |
| 0 | 17 | |
| 0.002696361548 | 2 | 0.2% |
| 0.008166562666 | 1 | 0.1% |
| 0.01626697246 | 2 | 0.2% |
| 0.02965588491 | 1 | 0.1% |
| 0.0533511755 | 1 | 0.1% |
| 0.07649797097 | 1 | 0.1% |
| 0.07899600623 | 1 | 0.1% |
| 0.08148781685 | 3 | 0.3% |
| 0.108944087 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 3.130957855 | 1 | |
| 3.082162232 | 1 | |
| 2.889610357 | 1 | |
| 2.857573046 | 1 | |
| 2.770874754 | 1 | |
| 2.710241133 | 1 | |
| 2.645302076 | 1 | |
| 2.595665071 | 1 | |
| 2.592796464 | 1 | |
| 2.55754509 | 1 |
age_first_milestone_year
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 450 |
|---|---|
| Distinct (%) | 48.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.0283971 |
| Minimum | 0 |
|---|---|
| Maximum | 3.2459033 |
| Zeros | 197 |
| Zeros (%) | 21.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0.26236368 |
| median | 1.0995119 |
| Q3 | 1.6099778 |
| 95-th percentile | 2.1978355 |
| Maximum | 3.2459033 |
| Range | 3.2459033 |
| Interquartile range (IQR) | 1.3476141 |
Descriptive statistics
| Standard deviation | 0.76225337 |
|---|---|
| Coefficient of variation (CV) | 0.74120529 |
| Kurtosis | -1.1467798 |
| Mean | 1.0283971 |
| Median Absolute Deviation (MAD) | 0.64158084 |
| Skewness | 0.034517561 |
| Sum | 949.21052 |
| Variance | 0.5810302 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 197 | 21.3% |
| 1.609977767 | 26 | 2.8% |
| 0.6931471806 | 17 | 1.8% |
| 1.098612289 | 16 | 1.7% |
| 1.386969133 | 15 | 1.6% |
| 1.792209368 | 14 | 1.5% |
| 1.099511884 | 13 | 1.4% |
| 1.386294361 | 13 | 1.4% |
| 2.080128805 | 11 | 1.2% |
| 1.946295789 | 10 | 1.1% |
| Other values (440) | 591 |
| Value | Count | Frequency (%) |
| 0 | 197 | |
| 0.02166363964 | 1 | 0.1% |
| 0.02439988682 | 1 | 0.1% |
| 0.02965588491 | 1 | 0.1% |
| 0.0349809689 | 1 | 0.1% |
| 0.03768106697 | 1 | 0.1% |
| 0.0402778465 | 1 | 0.1% |
| 0.04554681496 | 1 | 0.1% |
| 0.06109509936 | 1 | 0.1% |
| 0.06372569088 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 3.245903271 | 1 | |
| 2.871472056 | 1 | |
| 2.803275529 | 1 | |
| 2.719313201 | 1 | |
| 2.639842735 | 1 | |
| 2.602993343 | 1 | |
| 2.552650964 | 1 | |
| 2.532823417 | 1 | |
| 2.487644565 | 1 | |
| 2.483539048 | 1 |
age_last_milestone_year
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 580 |
|---|---|
| Distinct (%) | 62.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.3333924 |
| Minimum | 0 |
|---|---|
| Maximum | 3.2459033 |
| Zeros | 171 |
| Zeros (%) | 18.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0.69382173 |
| median | 1.571466 |
| Q3 | 1.9542877 |
| 95-th percentile | 2.3985159 |
| Maximum | 3.2459033 |
| Range | 3.2459033 |
| Interquartile range (IQR) | 1.260466 |
Descriptive statistics
| Standard deviation | 0.81786821 |
|---|---|
| Coefficient of variation (CV) | 0.61337398 |
| Kurtosis | -1.0052886 |
| Mean | 1.3333924 |
| Median Absolute Deviation (MAD) | 0.50866279 |
| Skewness | -0.48174122 |
| Sum | 1230.7212 |
| Variance | 0.66890841 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 171 | 18.5% |
| 1.609977767 | 21 | 2.3% |
| 1.792209368 | 13 | 1.4% |
| 1.946295789 | 11 | 1.2% |
| 2.080128805 | 11 | 1.2% |
| 0.6931471806 | 10 | 1.1% |
| 1.099511884 | 9 | 1.0% |
| 1.098612289 | 8 | 0.9% |
| 1.386294361 | 8 | 0.9% |
| 1.386969133 | 6 | 0.7% |
| Other values (570) | 655 |
| Value | Count | Frequency (%) |
| 0 | 171 | |
| 0.0349809689 | 1 | 0.1% |
| 0.03768106697 | 1 | 0.1% |
| 0.04554681496 | 1 | 0.1% |
| 0.07899600623 | 1 | 0.1% |
| 0.08148781685 | 1 | 0.1% |
| 0.09157594349 | 1 | 0.1% |
| 0.10399959 | 1 | 0.1% |
| 0.1259275566 | 1 | 0.1% |
| 0.1283932148 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 3.245903271 | 1 | |
| 2.961311622 | 1 | |
| 2.803275529 | 1 | |
| 2.710241133 | 1 | |
| 2.680082732 | 1 | |
| 2.67801702 | 1 | |
| 2.639842735 | 1 | |
| 2.631399512 | 1 | |
| 2.624864225 | 1 | |
| 2.619095118 | 1 |
funding_rounds
Real number (ℝ)
HIGH CORRELATION
| Distinct | 9 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.3109426 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.3 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 5 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.3909217 |
|---|---|
| Coefficient of variation (CV) | 0.60188502 |
| Kurtosis | 2.2645059 |
| Mean | 2.3109426 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.3569171 |
| Sum | 2133 |
| Variance | 1.9346632 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 1 | 317 | |
| 2 | 280 | |
| 3 | 167 | |
| 4 | 90 | 9.8% |
| 5 | 40 | 4.3% |
| 7 | 13 | 1.4% |
| 6 | 13 | 1.4% |
| 8 | 2 | 0.2% |
| 10 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 1 | 317 | |
| 2 | 280 | |
| 3 | 167 | |
| 4 | 90 | 9.8% |
| 5 | 40 | 4.3% |
| 6 | 13 | 1.4% |
| 7 | 13 | 1.4% |
| 8 | 2 | 0.2% |
| 10 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 10 | 1 | 0.1% |
| 8 | 2 | 0.2% |
| 7 | 13 | 1.4% |
| 6 | 13 | 1.4% |
| 5 | 40 | 4.3% |
| 4 | 90 | 9.8% |
| 3 | 167 | |
| 2 | 280 | |
| 1 | 317 |
funding_total_usd
Real number (ℝ)
HIGH CORRELATION
| Distinct | 505 |
|---|---|
| Distinct (%) | 54.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.745752 |
| Minimum | 9.3057415 |
|---|---|
| Maximum | 22.463732 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.3 KiB |
Quantile statistics
| Minimum | 9.3057415 |
|---|---|
| 5-th percentile | 12.135913 |
| Q1 | 14.817937 |
| median | 16.118096 |
| Q3 | 17.023325 |
| 95-th percentile | 18.057409 |
| Maximum | 22.463732 |
| Range | 13.157991 |
| Interquartile range (IQR) | 2.2053877 |
Descriptive statistics
| Standard deviation | 1.8147998 |
|---|---|
| Coefficient of variation (CV) | 0.11525647 |
| Kurtosis | 1.2992274 |
| Mean | 15.745752 |
| Median Absolute Deviation (MAD) | 1.0296194 |
| Skewness | -0.96949318 |
| Sum | 14533.329 |
| Variance | 3.2934983 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 16.11809575 | 24 | 2.6% |
| 15.42494867 | 21 | 2.3% |
| 15.20180517 | 20 | 2.2% |
| 13.81551156 | 16 | 1.7% |
| 14.50865824 | 16 | 1.7% |
| 16.52356083 | 14 | 1.5% |
| 13.12236538 | 12 | 1.3% |
| 14.91412318 | 11 | 1.2% |
| 16.30041729 | 11 | 1.2% |
| 15.06827381 | 9 | 1.0% |
| Other values (495) | 769 |
| Value | Count | Frequency (%) |
| 9.305741457 | 1 | 0.1% |
| 9.392745259 | 1 | 0.1% |
| 9.615872145 | 2 | 0.2% |
| 9.852246888 | 1 | 0.1% |
| 9.903537551 | 7 | |
| 9.961284651 | 1 | 0.1% |
| 10.1266711 | 2 | 0.2% |
| 10.30898599 | 2 | 0.2% |
| 10.34177474 | 1 | 0.1% |
| 10.81979828 | 4 |
| Value | Count | Frequency (%) |
| 22.46373201 | 1 | |
| 20.04992129 | 1 | |
| 19.51762498 | 1 | |
| 19.2886632 | 1 | |
| 19.26224836 | 1 | |
| 19.16927683 | 1 | |
| 18.90473598 | 1 | |
| 18.81272284 | 1 | |
| 18.77133762 | 1 | |
| 18.72688797 | 1 |
milestones
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.8418202 |
| Minimum | 0 |
|---|---|
| Maximum | 8 |
| Zeros | 152 |
| Zeros (%) | 16.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 4 |
| Maximum | 8 |
| Range | 8 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.322632 |
|---|---|
| Coefficient of variation (CV) | 0.71811139 |
| Kurtosis | 0.26032644 |
| Mean | 1.8418202 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.57737806 |
| Sum | 1700 |
| Variance | 1.7493555 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 1 | 250 | |
| 2 | 246 | |
| 3 | 182 | |
| 0 | 152 | |
| 4 | 62 | 6.7% |
| 5 | 24 | 2.6% |
| 6 | 6 | 0.7% |
| 8 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 0 | 152 | |
| 1 | 250 | |
| 2 | 246 | |
| 3 | 182 | |
| 4 | 62 | 6.7% |
| 5 | 24 | 2.6% |
| 6 | 6 | 0.7% |
| 8 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 8 | 1 | 0.1% |
| 6 | 6 | 0.7% |
| 5 | 24 | 2.6% |
| 4 | 62 | 6.7% |
| 3 | 182 | |
| 2 | 246 | |
| 1 | 250 | |
| 0 | 152 |
is_CA
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 487 | |
| 0 | 436 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 487 | |
| 0 | 436 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 487 | |
| 0 | 436 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 487 | |
| 0 | 436 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 487 | |
| 0 | 436 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 487 | |
| 0 | 436 |
is_NY
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 817 | |
| 1 | 106 | 11.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 817 | |
| 1 | 106 | 11.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 817 | |
| 1 | 106 | 11.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 817 | |
| 1 | 106 | 11.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 817 | |
| 1 | 106 | 11.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 817 | |
| 1 | 106 | 11.5% |
is_MA
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 | 83 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 840 | |
| 1 | 83 | 9.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 840 | |
| 1 | 83 | 9.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 840 | |
| 1 | 83 | 9.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 840 | |
| 1 | 83 | 9.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 840 | |
| 1 | 83 | 9.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 840 | |
| 1 | 83 | 9.0% |
is_TX
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 | 42 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 881 | |
| 1 | 42 | 4.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 881 | |
| 1 | 42 | 4.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 881 | |
| 1 | 42 | 4.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 881 | |
| 1 | 42 | 4.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 881 | |
| 1 | 42 | 4.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 881 | |
| 1 | 42 | 4.6% |
is_otherstate
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 719 | |
| 1 | 204 | 22.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 719 | |
| 1 | 204 | 22.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 719 | |
| 1 | 204 | 22.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 719 | |
| 1 | 204 | 22.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 719 | |
| 1 | 204 | 22.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 719 | |
| 1 | 204 | 22.1% |
is_software
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 770 | |
| 1 | 153 | 16.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 770 | |
| 1 | 153 | 16.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 770 | |
| 1 | 153 | 16.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 770 | |
| 1 | 153 | 16.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 770 | |
| 1 | 153 | 16.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 770 | |
| 1 | 153 | 16.6% |
is_web
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 144 | 15.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 144 | 15.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 144 | 15.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 144 | 15.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 144 | 15.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 144 | 15.6% |
is_mobile
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 | 79 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 844 | |
| 1 | 79 | 8.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 844 | |
| 1 | 79 | 8.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 844 | |
| 1 | 79 | 8.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 844 | |
| 1 | 79 | 8.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 844 | |
| 1 | 79 | 8.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 844 | |
| 1 | 79 | 8.6% |
is_enterprise
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 | 73 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 850 | |
| 1 | 73 | 7.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 850 | |
| 1 | 73 | 7.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 850 | |
| 1 | 73 | 7.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 850 | |
| 1 | 73 | 7.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 850 | |
| 1 | 73 | 7.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 850 | |
| 1 | 73 | 7.9% |
is_advertising
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 | 62 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 861 | |
| 1 | 62 | 6.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 861 | |
| 1 | 62 | 6.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 861 | |
| 1 | 62 | 6.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 861 | |
| 1 | 62 | 6.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 861 | |
| 1 | 62 | 6.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 861 | |
| 1 | 62 | 6.7% |
is_gamesvideo
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 | 52 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 871 | |
| 1 | 52 | 5.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 871 | |
| 1 | 52 | 5.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 871 | |
| 1 | 52 | 5.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 871 | |
| 1 | 52 | 5.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 871 | |
| 1 | 52 | 5.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 871 | |
| 1 | 52 | 5.6% |
is_ecommerce
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 | 25 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 898 | |
| 1 | 25 | 2.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 898 | |
| 1 | 25 | 2.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 898 | |
| 1 | 25 | 2.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 898 | |
| 1 | 25 | 2.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 898 | |
| 1 | 25 | 2.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 898 | |
| 1 | 25 | 2.7% |
is_biotech
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 | 34 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 889 | |
| 1 | 34 | 3.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 889 | |
| 1 | 34 | 3.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 889 | |
| 1 | 34 | 3.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 889 | |
| 1 | 34 | 3.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 889 | |
| 1 | 34 | 3.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 889 | |
| 1 | 34 | 3.7% |
is_consulting
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 | 3 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 920 | |
| 1 | 3 | 0.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 920 | |
| 1 | 3 | 0.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 920 | |
| 1 | 3 | 0.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 920 | |
| 1 | 3 | 0.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 920 | |
| 1 | 3 | 0.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 920 | |
| 1 | 3 | 0.3% |
is_othercategory
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 625 | |
| 1 | 298 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 625 | |
| 1 | 298 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 625 | |
| 1 | 298 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 625 | |
| 1 | 298 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 625 | |
| 1 | 298 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 625 | |
| 1 | 298 |
has_VC
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 622 | |
| 1 | 301 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 622 | |
| 1 | 301 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 622 | |
| 1 | 301 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 622 | |
| 1 | 301 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 622 | |
| 1 | 301 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 622 | |
| 1 | 301 |
has_angel
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 688 | |
| 1 | 235 | 25.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 688 | |
| 1 | 235 | 25.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 688 | |
| 1 | 235 | 25.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 688 | |
| 1 | 235 | 25.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 688 | |
| 1 | 235 | 25.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 688 | |
| 1 | 235 | 25.5% |
has_roundA
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 469 | |
| 0 | 454 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 469 | |
| 0 | 454 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 469 | |
| 0 | 454 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 469 | |
| 0 | 454 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 469 | |
| 0 | 454 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 469 | |
| 0 | 454 |
has_roundB
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 561 | |
| 1 | 362 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 561 | |
| 1 | 362 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 561 | |
| 1 | 362 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 561 | |
| 1 | 362 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 561 | |
| 1 | 362 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 561 | |
| 1 | 362 |
has_roundC
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 708 | |
| 1 | 215 | 23.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 708 | |
| 1 | 215 | 23.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 708 | |
| 1 | 215 | 23.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 708 | |
| 1 | 215 | 23.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 708 | |
| 1 | 215 | 23.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 708 | |
| 1 | 215 | 23.3% |
has_roundD
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 831 | |
| 1 | 92 | 10.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 831 | |
| 1 | 92 | 10.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 831 | |
| 1 | 92 | 10.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 831 | |
| 1 | 92 | 10.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 831 | |
| 1 | 92 | 10.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 831 | |
| 1 | 92 | 10.0% |
avg_participants
Real number (ℝ)
| Distinct | 59 |
|---|---|
| Distinct (%) | 6.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.8385861 |
| Minimum | 1 |
|---|---|
| Maximum | 16 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.3 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1.5 |
| median | 2.5 |
| Q3 | 3.8 |
| 95-th percentile | 6 |
| Maximum | 16 |
| Range | 15 |
| Interquartile range (IQR) | 2.3 |
Descriptive statistics
| Standard deviation | 1.8746009 |
|---|---|
| Coefficient of variation (CV) | 0.66039953 |
| Kurtosis | 5.0697277 |
| Mean | 2.8385861 |
| Median Absolute Deviation (MAD) | 1.1667 |
| Skewness | 1.7675537 |
| Sum | 2620.015 |
| Variance | 3.5141287 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 216 | |
| 2 | 152 | |
| 3 | 105 | |
| 4 | 71 | 7.7% |
| 2.5 | 50 | 5.4% |
| 5 | 38 | 4.1% |
| 1.5 | 37 | 4.0% |
| 3.5 | 27 | 2.9% |
| 2.6667 | 21 | 2.3% |
| 6 | 21 | 2.3% |
| Other values (49) | 185 |
| Value | Count | Frequency (%) |
| 1 | 216 | |
| 1.25 | 1 | 0.1% |
| 1.3333 | 6 | 0.7% |
| 1.4 | 1 | 0.1% |
| 1.5 | 37 | 4.0% |
| 1.6667 | 16 | 1.7% |
| 1.75 | 5 | 0.5% |
| 2 | 152 | |
| 2.25 | 9 | 1.0% |
| 2.3333 | 14 | 1.5% |
| Value | Count | Frequency (%) |
| 16 | 1 | 0.1% |
| 12.5 | 1 | 0.1% |
| 11.5 | 1 | 0.1% |
| 11 | 1 | 0.1% |
| 10 | 2 | 0.2% |
| 9.5 | 2 | 0.2% |
| 9.3333 | 1 | 0.1% |
| 9 | 7 | |
| 8.6667 | 1 | 0.1% |
| 8.5 | 3 |
is_top500
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 747 | |
| 0 | 176 | 19.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 747 | |
| 0 | 176 | 19.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 747 | |
| 0 | 176 | 19.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 747 | |
| 0 | 176 | 19.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 747 | |
| 0 | 176 | 19.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 747 | |
| 0 | 176 | 19.1% |
status
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 597 | |
| 0 | 326 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 597 | |
| 0 | 326 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 597 | |
| 0 | 326 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 597 | |
| 0 | 326 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 597 | |
| 0 | 326 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 597 | |
| 0 | 326 |
has_RoundABCD
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 681 | |
| 0 | 242 | 26.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 681 | |
| 0 | 242 | 26.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 681 | |
| 0 | 242 | 26.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 681 | |
| 0 | 242 | 26.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 681 | |
| 0 | 242 | 26.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 681 | |
| 0 | 242 | 26.2% |
has_Investor
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 498 | |
| 0 | 425 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 498 | |
| 0 | 425 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 498 | |
| 0 | 425 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 498 | |
| 0 | 425 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 498 | |
| 0 | 425 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 498 | |
| 0 | 425 |
has_Seed
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 708 | |
| 1 | 215 | 23.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 708 | |
| 1 | 215 | 23.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 708 | |
| 1 | 215 | 23.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 708 | |
| 1 | 215 | 23.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 708 | |
| 1 | 215 | 23.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 708 | |
| 1 | 215 | 23.3% |
invalid_startup
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 0 | |
|---|---|
| 1 | 27 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 896 | |
| 1 | 27 | 2.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 896 | |
| 1 | 27 | 2.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 896 | |
| 1 | 27 | 2.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 896 | |
| 1 | 27 | 2.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 896 | |
| 1 | 27 | 2.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 896 | |
| 1 | 27 | 2.9% |
age_startup_year
Real number (ℝ)
HIGH CORRELATION
| Distinct | 25 |
|---|---|
| Distinct (%) | 2.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.128927 |
| Minimum | 0 |
|---|---|
| Maximum | 24 |
| Zeros | 5 |
| Zeros (%) | 0.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 13 |
| median | 17 |
| Q3 | 19 |
| 95-th percentile | 24 |
| Maximum | 24 |
| Range | 24 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 6.4140959 |
|---|---|
| Coefficient of variation (CV) | 0.42396237 |
| Kurtosis | -0.30704725 |
| Mean | 15.128927 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | -0.84222179 |
| Sum | 13964 |
| Variance | 41.140627 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 17 | 172 | |
| 19 | 71 | 7.7% |
| 18 | 63 | 6.8% |
| 16 | 59 | 6.4% |
| 15 | 56 | 6.1% |
| 24 | 51 | 5.5% |
| 20 | 46 | 5.0% |
| 21 | 45 | 4.9% |
| 22 | 45 | 4.9% |
| 14 | 40 | 4.3% |
| Other values (15) | 275 |
| Value | Count | Frequency (%) |
| 0 | 5 | 0.5% |
| 1 | 21 | |
| 2 | 29 | |
| 3 | 31 | |
| 4 | 22 | |
| 5 | 32 | |
| 6 | 17 | |
| 7 | 19 | |
| 8 | 8 | 0.9% |
| 9 | 9 | 1.0% |
| Value | Count | Frequency (%) |
| 24 | 51 | 5.5% |
| 23 | 32 | 3.5% |
| 22 | 45 | 4.9% |
| 21 | 45 | 4.9% |
| 20 | 46 | 5.0% |
| 19 | 71 | |
| 18 | 63 | 6.8% |
| 17 | 172 | |
| 16 | 59 | 6.4% |
| 15 | 56 | 6.1% |
tier_relationships
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.3 KiB |
| 4 | |
|---|---|
| 3 | |
| 2 | |
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 923 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 4 |
|---|---|
| 2nd row | 3 |
| 3rd row | 4 |
| 4th row | 4 |
| 5th row | 4 |
Common Values
| Value | Count | Frequency (%) |
| 4 | 467 | |
| 3 | 241 | |
| 2 | 127 | 13.8% |
| 1 | 88 | 9.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 4 | 467 | |
| 3 | 241 | |
| 2 | 127 | 13.8% |
| 1 | 88 | 9.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 4 | 467 | |
| 3 | 241 | |
| 2 | 127 | 13.8% |
| 1 | 88 | 9.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 4 | 467 | |
| 3 | 241 | |
| 2 | 127 | 13.8% |
| 1 | 88 | 9.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 4 | 467 | |
| 3 | 241 | |
| 2 | 127 | 13.8% |
| 1 | 88 | 9.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 4 | 467 | |
| 3 | 241 | |
| 2 | 127 | 13.8% |
| 1 | 88 | 9.5% |
| age_first_funding_year | age_first_milestone_year | age_last_funding_year | age_last_milestone_year | age_startup_year | avg_participants | funding_rounds | funding_total_usd | has_Investor | has_RoundABCD | has_Seed | has_VC | has_angel | has_roundA | has_roundB | has_roundC | has_roundD | invalid_startup | is_CA | is_MA | is_NY | is_TX | is_advertising | is_biotech | is_consulting | is_ecommerce | is_enterprise | is_gamesvideo | is_mobile | is_othercategory | is_otherstate | is_software | is_top500 | is_web | milestones | status | tier_relationships | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| age_first_funding_year | 1.000 | 0.223 | 0.670 | 0.139 | 0.357 | 0.121 | -0.178 | 0.263 | 0.173 | 0.155 | 0.149 | 0.184 | 0.432 | 0.356 | 0.157 | 0.046 | 0.142 | 0.000 | 0.036 | 0.000 | 0.144 | 0.000 | 0.000 | 0.238 | 0.000 | 0.103 | 0.020 | 0.062 | 0.000 | 0.136 | 0.097 | 0.145 | 0.132 | 0.159 | -0.314 | 0.193 | 0.093 |
| age_first_milestone_year | 0.223 | 1.000 | 0.424 | 0.847 | 0.422 | 0.114 | 0.255 | 0.336 | 0.103 | 0.275 | 0.256 | 0.089 | 0.226 | 0.251 | 0.286 | 0.242 | 0.281 | 0.072 | 0.050 | 0.063 | 0.000 | 0.000 | 0.000 | 0.093 | 0.046 | 0.010 | 0.110 | 0.102 | 0.000 | 0.087 | 0.116 | 0.122 | 0.221 | 0.087 | 0.377 | 0.407 | 0.263 |
| age_last_funding_year | 0.670 | 0.424 | 1.000 | 0.386 | 0.516 | 0.209 | 0.422 | 0.616 | 0.166 | 0.372 | 0.350 | 0.365 | 0.402 | 0.255 | 0.364 | 0.395 | 0.342 | 0.102 | 0.069 | 0.070 | 0.107 | 0.000 | 0.000 | 0.197 | 0.000 | 0.103 | 0.000 | 0.058 | 0.000 | 0.108 | 0.000 | 0.124 | 0.339 | 0.226 | -0.131 | 0.271 | 0.073 |
| age_last_milestone_year | 0.139 | 0.847 | 0.386 | 1.000 | 0.463 | 0.129 | 0.298 | 0.328 | 0.122 | 0.328 | 0.310 | 0.082 | 0.238 | 0.275 | 0.295 | 0.264 | 0.244 | 0.059 | 0.073 | 0.031 | 0.059 | 0.000 | 0.000 | 0.094 | 0.143 | 0.037 | 0.080 | 0.132 | 0.075 | 0.090 | 0.150 | 0.033 | 0.291 | 0.000 | 0.620 | 0.471 | 0.289 |
| age_startup_year | 0.357 | 0.422 | 0.516 | 0.463 | 1.000 | 0.221 | 0.200 | 0.460 | 0.228 | 0.390 | 0.368 | 0.169 | 0.409 | 0.332 | 0.322 | 0.347 | 0.303 | 0.110 | 0.105 | 0.069 | 0.136 | 0.010 | 0.000 | 0.025 | 0.000 | 0.180 | 0.131 | 0.068 | 0.000 | 0.070 | 0.143 | 0.120 | 0.284 | 0.141 | 0.061 | 0.744 | 0.188 |
| avg_participants | 0.121 | 0.114 | 0.209 | 0.129 | 0.221 | 1.000 | 0.145 | 0.341 | 0.023 | 0.149 | 0.123 | 0.000 | 0.109 | 0.120 | 0.160 | 0.189 | 0.248 | 0.182 | 0.049 | 0.000 | 0.127 | 0.000 | 0.000 | 0.014 | 0.000 | 0.025 | 0.006 | 0.000 | 0.000 | 0.057 | 0.097 | 0.000 | 0.297 | 0.155 | 0.045 | 0.136 | 0.066 |
| funding_rounds | -0.178 | 0.255 | 0.422 | 0.298 | 0.200 | 0.145 | 1.000 | 0.529 | 0.251 | 0.330 | 0.280 | 0.333 | 0.079 | 0.312 | 0.488 | 0.493 | 0.354 | 0.135 | 0.095 | 0.085 | 0.059 | 0.000 | 0.000 | 0.000 | 0.063 | 0.000 | 0.117 | 0.000 | 0.104 | 0.051 | 0.071 | 0.000 | 0.275 | 0.087 | 0.244 | 0.255 | 0.211 |
| funding_total_usd | 0.263 | 0.336 | 0.616 | 0.328 | 0.460 | 0.341 | 0.529 | 1.000 | 0.307 | 0.646 | 0.639 | 0.209 | 0.588 | 0.355 | 0.558 | 0.538 | 0.433 | 0.255 | 0.135 | 0.149 | 0.113 | 0.057 | 0.028 | 0.177 | 0.000 | 0.066 | 0.000 | 0.000 | 0.090 | 0.088 | 0.171 | 0.176 | 0.447 | 0.199 | 0.032 | 0.301 | 0.209 |
| has_Investor | 0.173 | 0.103 | 0.166 | 0.122 | 0.228 | 0.023 | 0.251 | 0.307 | 1.000 | 0.414 | 0.506 | 0.640 | 0.537 | 0.274 | 0.224 | 0.132 | 0.066 | 0.179 | 0.100 | 0.000 | 0.046 | 0.002 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.032 | 0.000 | 0.113 | 0.041 | 0.103 | 0.011 | -0.003 | 0.083 | 0.097 |
| has_RoundABCD | 0.155 | 0.275 | 0.372 | 0.328 | 0.390 | 0.149 | 0.330 | 0.646 | 0.414 | 1.000 | 0.921 | 0.125 | 0.417 | 0.603 | 0.475 | 0.324 | 0.192 | 0.282 | 0.125 | 0.073 | 0.050 | 0.042 | 0.000 | 0.000 | 0.000 | 0.067 | 0.004 | 0.000 | 0.000 | 0.000 | 0.193 | 0.047 | 0.358 | 0.102 | 0.141 | 0.251 | 0.274 |
| has_Seed | 0.149 | 0.256 | 0.350 | 0.310 | 0.368 | 0.123 | 0.280 | 0.639 | 0.506 | 0.921 | 1.000 | 0.180 | 0.474 | 0.557 | 0.439 | 0.299 | 0.176 | 0.082 | 0.129 | 0.082 | 0.044 | 0.023 | 0.000 | 0.000 | 0.000 | 0.066 | 0.000 | 0.000 | 0.000 | 0.019 | 0.201 | 0.027 | 0.341 | 0.100 | -0.112 | 0.231 | 0.262 |
| has_VC | 0.184 | 0.089 | 0.365 | 0.082 | 0.169 | 0.000 | 0.333 | 0.209 | 0.640 | 0.125 | 0.180 | 1.000 | 0.200 | 0.194 | 0.000 | 0.046 | 0.000 | 0.109 | 0.058 | 0.000 | 0.029 | 0.000 | 0.010 | 0.000 | 0.000 | 0.000 | 0.023 | 0.044 | 0.055 | 0.000 | 0.095 | 0.025 | 0.088 | 0.113 | -0.098 | 0.043 | 0.054 |
| has_angel | 0.432 | 0.226 | 0.402 | 0.238 | 0.409 | 0.109 | 0.079 | 0.588 | 0.537 | 0.417 | 0.474 | 0.200 | 1.000 | 0.135 | 0.287 | 0.246 | 0.120 | 0.088 | 0.047 | 0.058 | 0.141 | 0.038 | 0.017 | 0.089 | 0.000 | 0.035 | 0.000 | 0.012 | 0.021 | 0.057 | 0.005 | 0.119 | 0.217 | 0.146 | 0.147 | 0.062 | 0.016 |
| has_roundA | 0.356 | 0.251 | 0.255 | 0.275 | 0.332 | 0.120 | 0.312 | 0.355 | 0.274 | 0.603 | 0.557 | 0.194 | 0.135 | 1.000 | 0.240 | 0.000 | 0.066 | 0.167 | 0.066 | 0.000 | 0.000 | 0.000 | 0.051 | 0.058 | 0.000 | 0.000 | 0.028 | 0.020 | 0.007 | 0.096 | 0.122 | 0.000 | 0.156 | 0.052 | 0.327 | 0.179 | 0.336 |
| has_roundB | 0.157 | 0.286 | 0.364 | 0.295 | 0.322 | 0.160 | 0.488 | 0.558 | 0.224 | 0.475 | 0.439 | 0.000 | 0.287 | 0.240 | 1.000 | 0.309 | 0.078 | 0.129 | 0.085 | 0.078 | 0.054 | 0.027 | 0.000 | 0.000 | 0.000 | 0.065 | 0.046 | 0.000 | 0.000 | 0.000 | 0.093 | 0.067 | 0.301 | 0.099 | 0.170 | 0.203 | 0.279 |
| has_roundC | 0.046 | 0.242 | 0.395 | 0.264 | 0.347 | 0.189 | 0.493 | 0.538 | 0.132 | 0.324 | 0.299 | 0.046 | 0.246 | 0.000 | 0.309 | 1.000 | 0.307 | 0.082 | 0.064 | 0.055 | 0.048 | 0.006 | 0.000 | 0.036 | 0.015 | 0.016 | 0.000 | 0.000 | 0.000 | 0.051 | 0.100 | 0.000 | 0.229 | 0.123 | 0.055 | 0.160 | 0.255 |
| has_roundD | 0.142 | 0.281 | 0.342 | 0.244 | 0.303 | 0.248 | 0.354 | 0.433 | 0.066 | 0.192 | 0.176 | 0.000 | 0.120 | 0.066 | 0.078 | 0.307 | 1.000 | 0.034 | 0.072 | 0.000 | 0.047 | 0.000 | 0.042 | 0.050 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.039 | 0.000 | 0.144 | 0.071 | 0.003 | 0.132 | 0.175 |
| invalid_startup | 0.000 | 0.072 | 0.102 | 0.059 | 0.110 | 0.182 | 0.135 | 0.255 | 0.179 | 0.282 | 0.082 | 0.109 | 0.088 | 0.167 | 0.129 | 0.082 | 0.034 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.021 | 0.000 | 0.000 | 0.040 | 0.000 | 0.009 | 0.063 | 0.000 | -0.086 | 0.058 | 0.029 |
| is_CA | 0.036 | 0.050 | 0.069 | 0.073 | 0.105 | 0.049 | 0.095 | 0.135 | 0.100 | 0.125 | 0.129 | 0.058 | 0.047 | 0.066 | 0.085 | 0.064 | 0.072 | 0.000 | 1.000 | 0.327 | 0.376 | 0.223 | 0.000 | 0.000 | 0.000 | 0.037 | 0.000 | 0.019 | 0.000 | 0.000 | 0.560 | 0.015 | 0.090 | 0.000 | 0.039 | 0.067 | 0.109 |
| is_MA | 0.000 | 0.063 | 0.070 | 0.031 | 0.069 | 0.000 | 0.085 | 0.149 | 0.000 | 0.073 | 0.082 | 0.000 | 0.058 | 0.000 | 0.078 | 0.055 | 0.000 | 0.000 | 0.327 | 1.000 | 0.102 | 0.050 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.060 | 0.000 | 0.039 | 0.160 | 0.094 | 0.073 | 0.000 | 0.012 | 0.070 | 0.000 |
| is_NY | 0.144 | 0.000 | 0.107 | 0.059 | 0.136 | 0.127 | 0.059 | 0.113 | 0.046 | 0.050 | 0.044 | 0.029 | 0.141 | 0.000 | 0.054 | 0.048 | 0.047 | 0.000 | 0.376 | 0.102 | 1.000 | 0.062 | 0.050 | 0.028 | 0.000 | 0.009 | 0.015 | 0.106 | 0.000 | 0.000 | 0.185 | 0.086 | 0.000 | 0.017 | 0.110 | 0.046 | 0.064 |
| is_TX | 0.000 | 0.000 | 0.000 | 0.000 | 0.010 | 0.000 | 0.000 | 0.057 | 0.002 | 0.042 | 0.023 | 0.000 | 0.038 | 0.000 | 0.027 | 0.006 | 0.000 | 0.000 | 0.223 | 0.050 | 0.062 | 1.000 | 0.035 | 0.000 | 0.004 | 0.000 | 0.026 | 0.000 | 0.000 | 0.044 | 0.105 | 0.000 | 0.000 | 0.000 | -0.032 | 0.022 | 0.000 |
| is_advertising | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.028 | 0.000 | 0.000 | 0.000 | 0.010 | 0.017 | 0.051 | 0.000 | 0.000 | 0.042 | 0.000 | 0.000 | 0.000 | 0.050 | 0.035 | 1.000 | 0.024 | 0.000 | 0.000 | 0.063 | 0.046 | 0.067 | 0.178 | 0.000 | 0.109 | 0.024 | 0.104 | 0.072 | 0.022 | 0.143 |
| is_biotech | 0.238 | 0.093 | 0.197 | 0.094 | 0.025 | 0.014 | 0.000 | 0.177 | 0.000 | 0.000 | 0.000 | 0.000 | 0.089 | 0.058 | 0.000 | 0.036 | 0.050 | 0.000 | 0.000 | 0.000 | 0.028 | 0.000 | 0.024 | 1.000 | 0.000 | 0.000 | 0.033 | 0.013 | 0.037 | 0.125 | 0.000 | 0.072 | 0.000 | 0.069 | -0.195 | 0.000 | 0.068 |
| is_consulting | 0.000 | 0.046 | 0.000 | 0.143 | 0.000 | 0.000 | 0.063 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.015 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.004 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | -0.009 | 0.000 | 0.097 |
| is_ecommerce | 0.103 | 0.010 | 0.103 | 0.037 | 0.180 | 0.025 | 0.000 | 0.066 | 0.000 | 0.067 | 0.066 | 0.000 | 0.035 | 0.000 | 0.065 | 0.016 | 0.000 | 0.000 | 0.037 | 0.000 | 0.009 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.016 | 0.000 | 0.021 | 0.103 | 0.035 | 0.057 | 0.033 | 0.053 | 0.002 | 0.056 | 0.000 |
| is_enterprise | 0.020 | 0.110 | 0.000 | 0.080 | 0.131 | 0.006 | 0.117 | 0.000 | 0.000 | 0.004 | 0.000 | 0.023 | 0.000 | 0.028 | 0.046 | 0.000 | 0.000 | 0.021 | 0.000 | 0.000 | 0.015 | 0.026 | 0.063 | 0.033 | 0.000 | 0.016 | 1.000 | 0.054 | 0.076 | 0.195 | 0.040 | 0.121 | 0.000 | 0.116 | 0.094 | 0.061 | 0.087 |
| is_gamesvideo | 0.062 | 0.102 | 0.058 | 0.132 | 0.068 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.044 | 0.012 | 0.020 | 0.000 | 0.000 | 0.000 | 0.000 | 0.019 | 0.060 | 0.106 | 0.000 | 0.046 | 0.013 | 0.000 | 0.000 | 0.054 | 1.000 | 0.058 | 0.160 | 0.059 | 0.097 | 0.000 | 0.093 | 0.064 | 0.000 | 0.000 |
| is_mobile | 0.000 | 0.000 | 0.000 | 0.075 | 0.000 | 0.000 | 0.104 | 0.090 | 0.032 | 0.000 | 0.000 | 0.055 | 0.021 | 0.007 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.067 | 0.037 | 0.000 | 0.021 | 0.076 | 0.058 | 1.000 | 0.205 | 0.000 | 0.127 | 0.012 | 0.122 | 0.134 | 0.000 | 0.000 |
| is_othercategory | 0.136 | 0.087 | 0.108 | 0.090 | 0.070 | 0.057 | 0.051 | 0.088 | 0.000 | 0.000 | 0.019 | 0.000 | 0.057 | 0.096 | 0.000 | 0.051 | 0.000 | 0.040 | 0.000 | 0.039 | 0.000 | 0.044 | 0.178 | 0.125 | 0.000 | 0.103 | 0.195 | 0.160 | 0.205 | 1.000 | 0.000 | 0.303 | 0.044 | 0.292 | -0.135 | 0.023 | 0.110 |
| is_otherstate | 0.097 | 0.116 | 0.000 | 0.150 | 0.143 | 0.097 | 0.071 | 0.171 | 0.113 | 0.193 | 0.201 | 0.095 | 0.005 | 0.122 | 0.093 | 0.100 | 0.039 | 0.000 | 0.560 | 0.160 | 0.185 | 0.105 | 0.000 | 0.000 | 0.000 | 0.035 | 0.040 | 0.059 | 0.000 | 0.000 | 1.000 | 0.023 | 0.147 | 0.000 | -0.128 | 0.163 | 0.172 |
| is_software | 0.145 | 0.122 | 0.124 | 0.033 | 0.120 | 0.000 | 0.000 | 0.176 | 0.041 | 0.047 | 0.027 | 0.025 | 0.119 | 0.000 | 0.067 | 0.000 | 0.000 | 0.009 | 0.015 | 0.094 | 0.086 | 0.000 | 0.109 | 0.072 | 0.000 | 0.057 | 0.121 | 0.097 | 0.127 | 0.303 | 0.023 | 1.000 | 0.011 | 0.185 | -0.158 | 0.000 | 0.069 |
| is_top500 | 0.132 | 0.221 | 0.339 | 0.291 | 0.284 | 0.297 | 0.275 | 0.447 | 0.103 | 0.358 | 0.341 | 0.088 | 0.217 | 0.156 | 0.301 | 0.229 | 0.144 | 0.063 | 0.090 | 0.073 | 0.000 | 0.000 | 0.024 | 0.000 | 0.000 | 0.033 | 0.000 | 0.000 | 0.012 | 0.044 | 0.147 | 0.011 | 1.000 | 0.110 | 0.177 | 0.306 | 0.232 |
| is_web | 0.159 | 0.087 | 0.226 | 0.000 | 0.141 | 0.155 | 0.087 | 0.199 | 0.011 | 0.102 | 0.100 | 0.113 | 0.146 | 0.052 | 0.099 | 0.123 | 0.071 | 0.000 | 0.000 | 0.000 | 0.017 | 0.000 | 0.104 | 0.069 | 0.000 | 0.053 | 0.116 | 0.093 | 0.122 | 0.292 | 0.000 | 0.185 | 0.110 | 1.000 | 0.174 | 0.000 | 0.000 |
| milestones | -0.314 | 0.377 | -0.131 | 0.620 | 0.061 | 0.045 | 0.244 | 0.032 | -0.003 | 0.141 | -0.112 | -0.098 | 0.147 | 0.327 | 0.170 | 0.055 | 0.003 | -0.086 | 0.039 | 0.012 | 0.110 | -0.032 | 0.072 | -0.195 | -0.009 | 0.002 | 0.094 | 0.064 | 0.134 | -0.135 | -0.128 | -0.158 | 0.177 | 0.174 | 1.000 | 0.352 | 0.309 |
| status | 0.193 | 0.407 | 0.271 | 0.471 | 0.744 | 0.136 | 0.255 | 0.301 | 0.083 | 0.251 | 0.231 | 0.043 | 0.062 | 0.179 | 0.203 | 0.160 | 0.132 | 0.058 | 0.067 | 0.070 | 0.046 | 0.022 | 0.022 | 0.000 | 0.000 | 0.056 | 0.061 | 0.000 | 0.000 | 0.023 | 0.163 | 0.000 | 0.306 | 0.000 | 0.352 | 1.000 | 0.380 |
| tier_relationships | 0.093 | 0.263 | 0.073 | 0.289 | 0.188 | 0.066 | 0.211 | 0.209 | 0.097 | 0.274 | 0.262 | 0.054 | 0.016 | 0.336 | 0.279 | 0.255 | 0.175 | 0.029 | 0.109 | 0.000 | 0.064 | 0.000 | 0.143 | 0.068 | 0.097 | 0.000 | 0.087 | 0.000 | 0.000 | 0.110 | 0.172 | 0.069 | 0.232 | 0.000 | 0.309 | 0.380 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| age_first_funding_year | age_last_funding_year | age_first_milestone_year | age_last_milestone_year | funding_rounds | funding_total_usd | milestones | is_CA | is_NY | is_MA | is_TX | is_otherstate | is_software | is_web | is_mobile | is_enterprise | is_advertising | is_gamesvideo | is_ecommerce | is_biotech | is_consulting | is_othercategory | has_VC | has_angel | has_roundA | has_roundB | has_roundC | has_roundD | avg_participants | is_top500 | status | has_RoundABCD | has_Investor | has_Seed | invalid_startup | age_startup_year | tier_relationships | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1.178440 | 1.386969 | 1.734925 | 2.041753 | 3 | 12.834684 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1.0000 | 0 | 1 | 0 | 1 | 1 | 0 | 17.0 | 4 |
| 1 | 1.812542 | 2.397650 | 2.080129 | 2.080129 | 4 | 17.506887 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 4.7500 | 1 | 1 | 1 | 1 | 0 | 0 | 24.0 | 3 |
| 2 | 0.709463 | 0.709463 | 0.899145 | 1.164868 | 1 | 14.771022 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4.0000 | 1 | 1 | 1 | 0 | 0 | 0 | 15.0 | 4 |
| 3 | 1.418641 | 1.842944 | 1.946296 | 1.946296 | 3 | 17.504390 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 3.3333 | 1 | 1 | 1 | 0 | 0 | 0 | 22.0 | 4 |
| 4 | 0.000000 | 0.981517 | 0.037681 | 0.037681 | 2 | 14.077876 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1.0000 | 1 | 0 | 0 | 1 | 1 | 0 | 1.0 | 4 |
| 5 | 1.712933 | 1.712933 | 1.792209 | 1.792209 | 1 | 15.830414 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3.0000 | 1 | 0 | 1 | 0 | 0 | 0 | 17.0 | 4 |
| 6 | 1.000816 | 1.826322 | 1.386294 | 2.029227 | 3 | 17.073607 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1.6667 | 1 | 1 | 1 | 1 | 0 | 0 | 19.0 | 3 |
| 7 | 0.973276 | 2.049188 | 1.887903 | 2.123650 | 3 | 17.344808 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 3.5000 | 1 | 1 | 1 | 0 | 0 | 0 | 20.0 | 1 |
| 8 | 1.523074 | 2.494221 | 2.197836 | 2.397395 | 3 | 16.082469 | 4 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 4.0000 | 1 | 1 | 1 | 1 | 0 | 0 | 22.0 | 2 |
| 9 | 0.982528 | 1.737814 | 1.365530 | 1.962219 | 3 | 15.564711 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1.0000 | 1 | 1 | 1 | 1 | 0 | 0 | 19.0 | 2 |
| age_first_funding_year | age_last_funding_year | age_first_milestone_year | age_last_milestone_year | funding_rounds | funding_total_usd | milestones | is_CA | is_NY | is_MA | is_TX | is_otherstate | is_software | is_web | is_mobile | is_enterprise | is_advertising | is_gamesvideo | is_ecommerce | is_biotech | is_consulting | is_othercategory | has_VC | has_angel | has_roundA | has_roundB | has_roundC | has_roundD | avg_participants | is_top500 | status | has_RoundABCD | has_Investor | has_Seed | invalid_startup | age_startup_year | tier_relationships | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 913 | 0.828726 | 0.828726 | 2.094736 | 2.094736 | 1 | 14.508658 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1.0000 | 0 | 0 | 1 | 0 | 0 | 0 | 4.0 | 4 |
| 914 | 1.438341 | 1.438341 | 1.386969 | 1.726670 | 1 | 14.808763 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2.0000 | 1 | 1 | 1 | 0 | 0 | 0 | 17.0 | 4 |
| 915 | 1.813439 | 1.813439 | 1.425900 | 2.252586 | 1 | 14.508658 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2.0000 | 0 | 0 | 1 | 0 | 0 | 0 | 7.0 | 3 |
| 916 | 0.000000 | 1.595096 | 1.364841 | 1.907199 | 3 | 16.705882 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 2.3333 | 1 | 1 | 1 | 1 | 0 | 0 | 18.0 | 2 |
| 917 | 1.891620 | 2.278180 | 2.251723 | 2.278180 | 5 | 18.623622 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 5.6000 | 1 | 1 | 1 | 1 | 0 | 0 | 24.0 | 3 |
| 918 | 0.417262 | 0.417262 | 0.457931 | 1.709464 | 1 | 13.910822 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6.0000 | 1 | 1 | 1 | 0 | 0 | 0 | 15.0 | 3 |
| 919 | 2.110468 | 2.325070 | 1.946296 | 1.946296 | 3 | 17.766754 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 2.6667 | 1 | 0 | 1 | 1 | 0 | 0 | 17.0 | 4 |
| 920 | 2.250860 | 2.250860 | 2.303135 | 2.303135 | 1 | 17.599700 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 8.0000 | 1 | 0 | 1 | 0 | 0 | 0 | 17.0 | 4 |
| 921 | 0.564689 | 1.343622 | 0.564689 | 1.576005 | 2 | 16.556351 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1.0000 | 1 | 1 | 1 | 0 | 0 | 0 | 15.0 | 2 |
| 922 | 1.415975 | 1.415975 | 1.609978 | 1.609978 | 1 | 16.811243 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3.0000 | 1 | 1 | 1 | 0 | 0 | 0 | 21.0 | 4 |
Most frequently occurring
| age_first_funding_year | age_last_funding_year | age_first_milestone_year | age_last_milestone_year | funding_rounds | funding_total_usd | milestones | is_CA | is_NY | is_MA | is_TX | is_otherstate | is_software | is_web | is_mobile | is_enterprise | is_advertising | is_gamesvideo | is_ecommerce | is_biotech | is_consulting | is_othercategory | has_VC | has_angel | has_roundA | has_roundB | has_roundC | has_roundD | avg_participants | is_top500 | status | has_RoundABCD | has_Investor | has_Seed | invalid_startup | age_startup_year | tier_relationships | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.563152 | 1.688933 | 1.330676 | 1.609978 | 4 | 17.349197 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 2.25 | 1 | 1 | 1 | 1 | 0 | 0 | 16.0 | 2 | 2 |